Abstract
Low-cost and highly efficient 3D face reconstruction is a significant technique for developing virtual interaction applications. While the Kinect, a typical low-cost 3D data collection device, has been widely used in many applications, in this work, we propose a highly efficient 3D face point cloud optimization method for face reconstruction based on Kinect. Based on the different characteristics of the Kinect point cloud, diverse optimization strategies were delicately applied to improve the reconstruction quality. Our extensive experiments clearly show that our approach outperforms traditional approaches in terms of accuracy.
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CITATION STYLE
Xiao, M., Yi, H., Huang, Y., Luo, G., & Xiao, Q. (2022). Effective Key Region-Guided Face Detail Optimization Algorithm for 3D Face Reconstruction. Journal of Sensors, 2022. https://doi.org/10.1155/2022/3419951
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